About SigOpt

Our mission is to empower experts

SigOpt was born out of the desire to make experts more efficient. While co-founder Scott Clark was completing his PhD at Cornell he noticed that often the final stage of research was a domain expert tweaking what they had built via trial and error. After completing his PhD, Scott developed MOE to solve this problem, and used it to optimize machine learning models and A/B tests at Yelp. SigOpt was founded in 2014 to bring this technology to every expert in every field.

Upcoming Events & Conferences

Newsroom

CNBC unveils its annual list of 100 promising start-ups to watch

The Upstart 100 is CNBC's exclusive list of promising young start-ups, featuring a diverse group of companies that are building brands and breaking industry barriers on the path to becoming tomorrow's household names.

Today at #GTC19, our CEO @DrScottClark will be sharing research on tuning #deeplearning models, while providing benchmarks and comparisons along with other methods for optimization. See you there! https://t.co/xlK8zlQey1 https://t.co/oBdiE5Zd8Q

@SigOpt

Hey #GTC19! Stop by booth 341 today from 12-12:30pm to see @pjhayes give an example of tuning a neural network across multiple metrics. https://t.co/xlK8zm7PWB https://t.co/G3REtDF6yk